feat: add new chapter on social engineering with LLMs, including an AI-powered phishing generator, and update documentation structure.

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shiva108
2025-12-05 10:26:42 +01:00
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@@ -17,7 +17,7 @@ A comprehensive operational toolkit for conducting **AI/LLM red team assessments
This repository contains three core resources:
### 1. **AI LLM Red Team Handbook** (23 Chapters, GitBook-ready)
### 1. **AI LLM Red Team Handbook** (24 Chapters, GitBook-ready)
A complete consultancy guide now split into individual chapter files for easier navigation:
@@ -28,7 +28,7 @@ A complete consultancy guide now split into individual chapter files for easier
- **Part V: Attacks & Techniques** - Prompt injection, data leakage, jailbreaks, plugin exploitation, evasion, poisoning, model theft (Chapters 14-20)
- **Appendices** - Tools, resources, templates, and references
**Current Coverage (23 Chapters - Complete):**
**Current Coverage (24 Chapters - Complete):**
1. Introduction to AI Red Teaming
2. Ethics, Legal, and Stakeholder Communication
@@ -48,16 +48,24 @@ A complete consultancy guide now split into individual chapter files for easier
16. Jailbreaks and Bypass Techniques
17. Plugin and API Exploitation
- ✅ Handbook: **23 chapters complete** and split into individual files for GitBook
- ✅ Chapters 18-23: Enhanced with comprehensive explanations and practical examples
-**Copy-Pasteable Attack Demos**: Model extraction, membership inference, DoS attacks, multimodal exploits, persistence techniques
- ✅ Handbook: **24 chapters complete** and split into individual files for GitBook
- ✅ Chapters 18-24: Enhanced with comprehensive explanations and practical examples
-**Copy-Pasteable Attack Demos**: Model extraction, membership inference, DoS, multimodal, persistence, social engineering
18. **Evasion, Obfuscation, and Adversarial Inputs** (Enhanced with comprehensive explanations)
19. **Training Data Poisoning** (Enhanced with attack scenarios and defenses)
20. **Model Theft and Membership Inference** (NEW: With copy-pasteable attack demonstrations)
21. **Model DoS and Resource Exhaustion** (NEW: Token bombs, computational attacks, rate limiting bypass)
22. **Cross-Modal and Multimodal Attacks** (NEW: Vision-language attacks, adversarial images, image injection)
23. **Advanced Persistence and Chaining** (NEW: Context hijacking, multi-turn jailbreaks, attack sequences)
- ✅ Chapter 21: Model DoS and Resource Exhaustion (886 lines)
- ✅ Chapter 22: Cross-Modal and Multimodal Attacks (1,159 lines)
- ✅ Chapter 23: Advanced Persistence and Chaining (871 lines)
- ✅ Chapter 24: Social Engineering with LLM (1,140 lines)
- AI-powered phishing generator
- Executive impersonation framework
- All with detailed ethical warnings)
24. **Social Engineering with LLMs** (NEW: AI phishing, impersonation, persuasion automation)
📖 **GitBook Navigation:** See [SUMMARY.md](docs/SUMMARY.md) for the complete chapter structure.
@@ -134,6 +142,7 @@ ai-llm-red-team-handbook/
│ ├── Chapter_21_Model_DoS_Resource_Exhaustion.md # NEW (DoS attacks)
│ ├── Chapter_22_Cross_Modal_Multimodal_Attacks.md # NEW (VLM attacks)
│ ├── Chapter_23_Advanced_Persistence_Chaining.md # NEW (Persistence)
│ ├── Chapter_24_Social_Engineering_LLMs.md # NEW (Social Eng)
│ ├── AI_LLM Red Team Field Manual.md # Operational field reference
│ ├── Building a World-Class AI Red Team.md # Team-building strategy guide
│ ├── Configuration.md # Setup and configuration guide
@@ -271,4 +280,4 @@ For major changes, please open an issue first to discuss.
---
**Last Updated:** December 2024 | **Handbook Chapters:** 23 Complete (GitBook-ready) | **Practical Examples:** 10 Copy-Paste Attack Demos
**Last Updated:** December 2024 | **Handbook Chapters:** 24 Complete (GitBook-ready) | **Practical Examples:** 12+ Copy-Paste Attack Demos
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@@ -41,6 +41,7 @@
- [Chapter 21: Model DoS and Resource Exhaustion](Chapter_21_Model_DoS_Resource_Exhaustion.md)
- [Chapter 22: Cross-Modal and Multimodal Attacks](Chapter_22_Cross_Modal_Multimodal_Attacks.md)
- [Chapter 23: Advanced Persistence and Chaining](Chapter_23_Advanced_Persistence_Chaining.md)
- [Chapter 24: Social Engineering with LLMs](Chapter_24_Social_Engineering_LLMs.md)
## Reference Materials